Orbiba Robotics has built a mixed funding structure that combines shareholder capital, non-dilutive research support and in-kind technology services. The company's investor page lists these resources together, but they serve different purposes. Cash investment, public grants and cloud credits should therefore be read as separate categories rather than one headline total.

Crowdfunding and a broad investor base

According to the company, its Fonlabüyüsün campaign closed on 15 March 2024 with TRY 6.6 million from 1,382 investors. The page describes the result as reaching 120% of the campaign target. This is the equity-oriented part of the published portfolio, built through participation by a large community of investors.

Non-dilutive R&D support

• TÜBİTAK 1507: TRY 2.4 million in SME research and development support.
• KOSGEB: TRY 300,000 through the Advanced Entrepreneurship programme.
• FOSTER: TRY 603,000 of support within an EU, KfW and KOSGEB-backed framework.
• EIT Food Test Farms: a €4,000 programme supporting field validation with farmers in Italy.

Infrastructure and service credits

The official page also lists $300,000 of service-access and grant support through NVIDIA Inception and $150,000 through Microsoft for Startups Founders Hub. Under YTÜ Startup House, it records a further $150,000 of Microsoft Azure support delivered with Office Mentor. These entries should not be represented as cash equity: their practical value is access to computing, software and technical services.

That distinction also prevents double counting. A service credit is normally consumed on the eligible technology platform and cannot automatically be redirected to payroll, manufacturing or another budget line. A grant is tied to an approved programme and its reporting conditions. Neither should be added to equity as if every dollar or lira were unrestricted cash.

The structure becomes clearer when currencies and resource types are not added into a single total. Crowdfunding broadens the capital base; public programmes reduce research risk; and cloud credits lower the cost of training and operating AI systems. For an agricultural robotics company developing hardware, autonomy software and field trials in parallel, that division can improve capital efficiency.

All figures are historical amounts published by the company. They do not represent current balances, available credit or a new financing announcement.

Source

Programme names, figures and dates come from Orbiba Robotics' official funding and support page. The category analysis is original Orbiba editorial work.